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ecs.i3g.2xlarge by Alibaba Cloud

ecs.i3g.2xlarge is a ecs.i3g family (8 vCPUs, 32 GiB RAM, 479 GB ssd storage) server offered by Alibaba Cloud with 8 vCPUs, 32 GiB of memory and 479 GB of storage. The pricing starts at 0.0842 USD per hour.
8 vCPU
32 GiB Memory
479 GB Storage
Spare SCore
7006
(All-cores)
1315
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.i3g.2xlarge
Description
ecs.i3g family (8 vCPUs, 32 GiB RAM, 479 GB ssd storage)
Family
ecs.i3g
Hw Virt
Status
active
Observed At
2026-07-21T22:06:55.418244

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.39 USD/h
Virginia (US) / us-east-1
0.0842 USD/h 0.421 USD/h
Beijing (CN) / cn-beijing
0.1083 USD/h 0.4334 USD/h
Hangzhou (CN) / cn-hangzhou
0.19935 USD/h 0.4334 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.4334 USD/h
Shanghai (CN) / cn-shanghai
- 0.4334 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.4334 USD/h
Singapore (SG) / ap-southeast-1
- 0.524 USD/h
Frankfurt (DE) / eu-central-1
- 0.549 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8269CY
CPU L1D Cache
32 KiB
CPU L1D Cache Total
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 MiB
CPU L3 Cache
36 MiB
CPU L3 Cache Total
36 MiB
CPU Flags
fpu, vme, de, pse, tsc, msr, pae, mce, cx8, apic, sep, mtrr, pge, mca, cmov, pat, pse36, clflush, mmx, fxsr, sse, sse2, ss, ht, syscall, nx, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, nonstop_tsc, cpuid, tsc_known_freq, pni, pclmulqdq, monitor, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, arat, avx512_vnni
Ecpus
5.3
Scalability
66.25

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    479 GB
    Storage Type
    ssd
    Storages
      NETWORK
      Network Speed Baseline
      3 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated eight-core x86_64 server with balanced memory and local SSD storage for reliable multi-threaded workloads.

      General PurposeStorage & Database

      Alibaba Cloud ecs.i3g.2xlarge is an x86_64 virtual server featuring 8 dedicated Intel Xeon 8269CY physical cores running at 2.5 GHz, 32.0 GB of RAM, and 479 GB of local SSD storage. Operating under a KVM hypervisor with a 3 Gbps baseline network bandwidth, this instance delivers average multi-core CPU performance, memory bandwidth, and database throughput, though single-core execution speeds are relatively weak. The balanced resource allocation makes it a qualitatively cost-efficient option for multi-threaded workloads, static web serving, and database applications. With its dedicated CPU allocation and local SSD, it supports stable Redis SET operations and static web serving, though it is not recommended for intensive single-threaded tasks or medium-to-large language model inference.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.472Score
      Precomputed compound score for Cache Intensive workloads. A weighted average (geometric mean) of benchmark scores compared to their medians: score = ∏ (x_i / m_i)^(w_i / Σw). The score of 1.0 represents a synthetic baseline server with the median performance of each component benchmark; 0.5 means roughly half the performance; and 2.0 means twice the performance of that reference profile. Component weights: 50% Redis RPS (pipeline=1, SET), 20% Redis RPS (pipeline=16, SET), 10% PassMark Memory Mark (composite), 10% Memory bandwidth (read, 16 MB ~ L3), 10% PassMark single-thread CPU. Rationale for component selection: In-memory key-value store workload, mixing direct Redis performance metrics with memory speed and latency benchmarks, and single-core CPU performance profiles.
      Component Score Weight Impact
      Raw Reference Normalized Target Actual
      Redis RPS (pipeline=1, SET) 738,819 ops/sec 1,896,415 ops/sec 0.39 50.00% 50.00% -37.60%
      Redis RPS (pipeline=16, SET) 4,498,758 ops/sec 11,539,523 ops/sec 0.39 20.00% 20.00% -17.20%
      PassMark Memory Mark (composite) 2,334 2,411 0.968 10.00% 10.00% -0.33%
      Memory bandwidth (read, 16 MB ~ L3) 53,575 MB/sec 107,368 MB/sec 0.499 10.00% 10.00% -6.72%
      PassMark single-thread CPU 1,979 Mops/s 2,363 Mops/s 0.837 10.00% 10.00% -1.76%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,187

      Geekbench Multi-Core

      Score: 4,479

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		8286
      Compression
      		108570
      Encryption
      		3244
      Extended Instructions
      		6426
      Floating Point Maths
      		12569
      Integer Maths
      		23428
      Physics
      		969
      Prime Numbers
      		59
      Single Threaded
      		1979
      String Sorting
      		14681

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		2334
      Database Operations
      		2855
      Memory Latency
      		52
      Memory Read Cached
      		22787
      Memory Read Uncached
      		10265
      Memory Write
      		9979

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      LLM Inference Speed for Prompt Processing

      LLM Inference Speed for Text Generation

      Static Web Server

      Redis

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYGPUs
      ecs.i3g.4xlarge 1664 GiB0
      ecs.i3g.8xlarge 32128 GiB0
      ecs.i3g.13xlarge 52192 GiB0
      ecs.i3g.26xlarge 104384 GiB0

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      ecs.i3g.2xlarge FAQs